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torchmil/Camelyon16_MIL

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Hugging Face2025-10-20 更新2025-11-01 收录
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资源简介:
CAMELYON16MIL数据集是针对多实例学习(MIL)的CAMELYON16数据集的改编版本。该数据集包含经过预处理的淋巴节点切片的全景图像(WSIs),其中提取了相关的斑块并计算了每个斑块的特征。如果一个斑块的超过50%的像素被标记为转移性组织,则该斑块被标记为阳性。如果一个WSI中至少包含一个阳性斑块,则该WSI被标记为阳性。数据集提供了标准化实验的训练/测试分割。

The CAMELYON16MIL dataset is an adapted version of the CAMELYON16 dataset tailored for Multiple Instance Learning (MIL). This dataset contains preprocessed whole-slide images (WSIs) of lymph node sections, with relevant patches extracted and features computed for each patch. A patch is labeled as positive if more than 50% of its pixels are annotated as metastatic, and a WSI is labeled as positive if it contains at least one positive patch. The dataset provides train/test splits for standardized experimentation.
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